#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import copy

import os
import numpy as np
import random
import paddle
from ..registry import PIPELINES
"""
pipeline ops for Action Segmentation Dataset.
"""


@PIPELINES.register()
class SegmentationSampler(object):

    def __init__(self, sample_rate):
        self.sample_rate = sample_rate

    def __call__(self, results):
        for key, data in results.items():
            if len(data.shape) == 1:
                data = data[::self.sample_rate]
                results[key] = copy.deepcopy(data)
            else:
                data = data[:, ::self.sample_rate]
                results[key] = copy.deepcopy(data)
        return results
